What data for this category looks like
Core data for this category comes from daily business documents of enterprise metrology rooms and CNAS system laboratories. These documents include gauge ledgers, calibration plans, calibration certificates, test raw records, reference material ledgers, deviation handling records, and more. Data sources cover internal enterprise metrology management systems, LIMS platforms, and certificates and standard instrument data issued by external calibration institutions. Updates are triggered by calibration cycles, single test completion, or abnormal events. There is no fixed batch update cycle. Document structures include structured fields and free text. Fields include gauge number, calibration date, measurement result, measurement uncertainty, conformity judgment, environmental monitoring parameters, and more. Units cover metrology professional categories such as length, force, and concentration.
What constraints do these characteristics impose on the document parsing and chunking link
The multi-type document structure, professional metrology fields, and non-fixed update rhythm of this category's data create multiple constraints for the parsing and chunking process. Different document types have distinct structural differences. Ledgers are list-style structured data. Calibration certificates contain tables and long paragraphs of uncertainty analysis. Raw records are fragmented test data. Different splitting logic must be adapted for each type. Units and associated relationships of professional fields must be retained. This prevents loss of binding information between measurement results and uncertainty. Data from multiple sources may have format differences. Compatibility with multiple file formats such as PDF and exported spreadsheets is required. Batch parsing must adapt to files with non-fixed update frequencies. This avoids timeouts or abnormal resource usage. This category requires support for quality traceability and method control. Chunking must retain associated information across multiple documents to ensure the integrity of measurement evidence.
How to set configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | Calibration certificates and raw records contain long paragraphs of measurement descriptions and uncertainty analysis. This range retains the integrity of a single set of measurement data |
chunkSplitter | Split by paragraph + title | Metrology documents have structured titles such as calibration items and environmental conditions. Splitting by title preserves field association relationships |
customPdfParse | Enabled | Calibration certificates often include structured tables and mathematical formulas. Enabling custom parsing preserves the readability of table structures and formulas |
UPLOAD_FILE_MAX_SIZE | 50–100 MB | A single set of calibration certificates or large LIMS exported files may exceed the default limit. Set a reasonable range based on actual measurements |
PARSE_FILE_TIMEOUT_SECONDS | 300–600 seconds | Formula parsing and table extraction for long documents require longer processing time to avoid timeout failures |
chunkSettingMode | Manual configuration | Metrology documents have large structural differences. Manual configuration adapts to different types of ledgers, certificates, and raw records |
Three common misconfigurations
- Parsing a PDF returns "unable to read file content". The cause is that
customPdfParseis not enabled, orUPLOAD_FILE_MAX_SIZEis set smaller than the actual uploaded file size. - Formulas fail to render correctly. The cause is that FastGPT v4.17.0 does not match the supporting parsing engine version, or
PARSE_FILE_TIMEOUT_SECONDSis set too short to complete formula parsing. - Traceability chain association breaks after chunking. The cause is that
chunkSizeis set too small, splitting the measurement result, uncertainty, and conformity judgment of a single set of calibration data into multiple chunks, losing binding information between fields.
How to confirm the configuration is properly set
- Upload a single calibration certificate, view the parsed chunk preview, and confirm that the measurement result and uncertainty paragraph are not incorrectly split.
- Upload a ledger file that exceeds the default size, and confirm that the upload and parsing process does not trigger errors.
- Compare parsing results from different versions, and confirm that formulas and table structures can be displayed normally.
- Test batch uploading multiple different types of metrology documents, and confirm that the parsing success rate meets expectations.
The values provided are common starting points and should be measured against the reader's own samples.